Evidence map›Paper›PMID 39262685›Full record

ArticleJournal of tropical medicine2023

Saurav Katuwal, Siddha Raj Upadhyaya, Rishab Marahatha, Asmita Shrestha, Bishnu P Regmi, Karan Khadayat, Saroj Basnet, Ram Chandra Basnyat, Niranjan Parajuli

Abstract read
In one paragraph

Article in Journal of tropical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Saurav KatuwalCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-0570-865X
Siddha Raj UpadhyayaCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-1221-835X
Rishab MarahathaCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-9065-159X
Asmita ShresthaCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID https://orcid.org/0000-0001-6759-2088
Bishnu P RegmiDepartment of Chemistry, Florida Agricultural and Mechanical University, Tallahassee, FL 32307, USA.ORCID https://orcid.org/0000-0001-7690-9825
Karan KhadayatCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-8125-9756
Saroj BasnetCenter for Drug Design and Molecular Simulation Division, Cancer Care and Research Center, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-7508-2472
Ram Chandra BasnyatCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-2051-3781
Niranjan ParajuliCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-9233-6489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the rigorous global efforts to control SARS-CoV-2 transmission, it continues to pose a serious threat to humans with the frequent emergence of new variants. Thus, robust therapeutics to combat the virus are a desperate need. The SARS-CoV-2 spike (S) protein is an important target protein as it mediates the entry of the virus inside the host cells, which is initiated by the binding of the receptor-binding domain (RBD) to its cognate receptor, angiotensin-converting enzyme 2 (ACE-2). Herein, the inhibition potential of several naturally occurring coumarins was investigated against the spike proteins of SARS-CoV-2 variants using computational approaches. Molecular docking studies revealed 26 coumarins with better binding energies than the reference ligands, molnupiravir and ceftazidime, against the S-RBD of the omicron variant. The top 10 best-docked coumarins were further analyzed to understand their binding interactions against the spike proteins of other variants (wild-type, Alpha, Beta, Gamma, and Delta), and these studies also demonstrated decent binding energies. Physicochemical, QSAR, and pharmacokinetics analyses of the coumarins revealed wedelolactone as the best inhibitor of the spike protein with ideal Lipinski's drug-likeness and optimal ADMET properties. Furthermore, coarse-grained molecular dynamics (MD) simulation studies of spike protein-wedelolactone complexes validated the stable binding of wedelolactone in the respective binding pockets. As an outcome, wedelolactone could be utilized to develop a potent drug candidate against COVID-19 by blocking the viral entry into the host cell.

Identifiers

PMID39262685
PMCPMC11390206

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.